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. Experience in conducting experimental work (experimental internship) 2. Basic understanding of magnetohydrodynamics 3. Knowledge of Python programming 4. Experience in signal and/or image processing _Personal
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | 16 days ago
with quantitative data analysis using R, Python, MATLAB or comparable software; GIS experience is advantageous Very good command of English (approximately equivalent to CEFR level C1); knowledge
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Management. Strong background in physics and mathematics, ideally knowledge in Air Traffic Management. Strong background in coding, preferably Python. Ability to learn independently and passion for research
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)medical or nutritional sciences.Preferably you have experience with working with large datasets in statistical software packages such as R, Python or SPSS. Proficiency in English at C1 level or higher (CEFR
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involving robotics, computer vision, SLAM, mobile sensing, sensor fusion, or related areas will be valued. Criterion a3. Technical and programming skills (30%). Strong proficiency in Python or C++, and
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collaboratively in an international research environment Preferred qualifications: Proficiency with a relevant data-analysis environment, preferably Python or R, and SPSS Background in comparative higher education
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with experience applying these models to practical applications for real-world challenges. Good programming skills, Python is mandatory, other languages (e.g., Java, C++) will be considered a plus to
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evidence of excellent study results. You have strong programming skills in C and at least one high-level language (e.g. Python). You have a solid understanding of wireless network stacks and/or experience
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, specifically with Python-based engineering software development and hardware interfacing. Excellent oral and written English skills Demonstrated ability to independently conduct engineering projects Demonstrated
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machine learning research software, preferably using Python and PyTorch. An interest in foundation models, self supervised learning, multimodal learning, and 3D perception. An affinity for translating